Division of Modelling and Evaluation
The division works on the mathematical Modelling of deposits, ores, mining, processing and their economic and ecological effects.
The used and further developed mathematical methods include:
- geostatistics (kriging, MPS,...)
- stochastic geometry (e.g. Stereology, modells for random shapes)
- compositional data analysis
- statististics of geometric observations (e.g. shapes, crystallographic orientations)
- stochastic modelling
- stochastic differential equations
- stochastic simulation
- statistical analysis of systems
- stochastic optimisation (e.g. optimisation with statistically inferred objective functions)
Our aim is the optimisation of the whole value of metal production with respect to economic and ecological effects, based on a precise characterisation of the raw materials and powerful mathematical models of the possible processing technologies. This is done in close collaboration to all other departments of the HIF and the corresponding institutes at TU Bergakademie Freiberg.
Since all these processes are subject to random variation and incomplete information the mathematical modelling has to be based on stochastic and statistic methods.